New model from https://wandb.ai/wandb/huggingtweets/runs/n0emq13h

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from NFT God.
 
 | Data | NFT God |
 | --- | --- |
-| Tweets downloaded | 3250 |
+| Tweets downloaded | 3249 |
 | Retweets | 21 |
 | Short tweets | 177 |
-| Tweets kept | 3052 |
+| Tweets kept | 3051 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2q0lkjs6/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
+[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/386e015r/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
 
 ## Training procedure
 
 The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @nft_god's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/86ibiten) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/n0emq13h) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/86ibiten/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/n0emq13h/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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training_args.bin

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